Paradigm Swarm: Structural Prevention of Catastrophic Forgetting through Semantic Weight Isolation

We propose Paradigm Swarm — an architecture for continual learningwhere knowledge is split into isolated paradigm-experts with frozen
weights. 

This yields six architectural properties: zero forgetting by construction, emergent gap detection, unlimited compute ceiling, coalition compilation, expert distillation, and dissipative structure discovery. 

Validated across 28 experimental configurations (synthetic to CIFAR-100), Paradigm Swarm matches Oracle within 0.002 accuracy while SGD forgets up to 57pp. 45 reproducible NumPy experiments.

Code: github.com/sensus-stoa/paradigm-swarm
Email: beattle1984atgmail.com